Immigrate (version 0.2.1)

predict.Immigrate: predict.Immigrate

Description

This function performs the predition for Immigrate(Iterative Max-Min Entropy Margin-Maximization with Interaction Terms) algorithm.

Usage

# S3 method for Immigrate
predict(object, xx, yy, newx, sig = 1, type = "both", ...)

Arguments

object

result of Immigrate algorithm

xx

model matrix of explanatory variables

yy

label vector

newx

new model matrix to be predicted

sig

sigma used in prediction function, default to be 1. Refer to the prediction function in the link below for more details

type

the form of final output, default to be "both". One can also choose "response"(predicted probabilities) or "class"(predicted labels).

...

further arguments passed to or from other methods

Value

response

predicted probabilities for new data (newx)

class

predicted class labels for new data (newx)

References

Zhao, Ruzhang, Pengyu Hong, and Jun S. Liu. "IMMIGRATE: A Margin-based Feature Selection Method with Interaction Terms." Entropy 22.3 (2020): 291.

See Also

Please refer to https://www.mdpi.com/1099-4300/22/3/291/htm for more details.

Please refer to https://github.com/RuzhangZhao/Immigrate/ for implementation demo.

Examples

# NOT RUN {
data(park)
xx<-park$xx
yy<-park$yy
index<-c(1:floor(nrow(xx)*0.3))
train_xx<-xx[-index,]
test_xx<-xx[index,]
train_yy<-yy[-index]
test_yy<-yy[index]
re<-Immigrate(train_xx,train_yy)
res<-predict(re,train_xx,train_yy,test_xx,type="class")
print(res)
# }